Meeste Esiliiga

Meest I-Liiga

Middle-Blocker

Meeste Esiliiga Best players MIDDLE BLOCKER
PlayerPlayedServeBlockAttackRanking
  MS#=/TotSv ind.#=/TotBl ind.#=/TotSp ind.Index

1

Lankei Oliver
(EMÜ/Structura)

11

40

15

37

6

131

0.0117

25

1

2

32

0.0139

34

11

9

99

5.6566

0.46168

2

Kuri Reimo
(Tallinna Ülikool)

4

17

7

6

3

74

0.0135

8

7

0

17

0.0108

13

2

1

26

6.5385

0.45372

3

Stamm Karmo
(Selver Tallinn Spordikool)

11

48

17

32

5

175

0.0106

21

12

2

43

0.0101

47

6

8

106

14.9434

0.44905

4

Puss Robin
(Audentese SG/NK)

1

4

1

2

0

11

0.0053

3

1

0

4

0.016

11

2

0

20

1.8

0.43629

5

Maikalu Jakub Vilhelm
(Põltsamaa VK)

1

3

2

3

0

10

0.0156

1

0

1

2

0.0078

4

2

2

11

0

0.43547

6

Piik Margus
(EstNor/Kiili)

3

10

1

2

1

28

0.0041

8

5

0

16

0.0166

13

2

2

33

2.7273

0.43522

7

Ojamaa Karl Kerdo
(EstNor/Kiili)

8

27

5

6

6

91

0.0079

17

15

1

46

0.0122

31

10

4

70

6.5571

0.43403

8

Armulik Deivid
(BMF/Rakvere VK)

1

4

1

2

1

12

0.0108

2

1

0

3

0.0108

4

1

0

8

1.5

0.43131

9

Prei Taavi
(Tallinna Ülikool)

4

15

1

5

0

30

0.0015

11

3

0

19

0.0163

19

6

1

39

4.6154

0.42356

10

Eskla Hannes
(EMÜ/Structura)

8

27

3

24

5

80

0.0058

13

5

0

21

0.0094

31

12

4

79

5.1266

0.40546

11

Kivisild Kaupo
(EstNor/Kiili)

9

33

4

10

4

97

0.0051

15

14

2

48

0.0096

44

16

6

110

6.6

0.40538

12

Lomp Siim
(EstNor/Kiili)

5

12

2

6

0

37

0.0028

8

3

0

14

0.0113

14

2

0

24

6

0.40312

13

Karp Kristo
(Tallinna Ülikool)

1

3

0

0

1

8

0.008

1

1

0

2

0.008

5

0

0

9

1.6667

0.40228

14

Mitt Karl
(EstNor/Kiili)

8

23

1

6

3

59

0.0029

13

9

3

30

0.0095

34

5

5

75

7.36

0.39562

15

Pähn Ragnar
(EMÜ/Structura)

6

18

1

6

2

41

0.0032

8

0

1

9

0.0086

27

6

1

56

6.4286

0.39102

16

Paavel Artur Valdeko
(AB Premium/Rae vald)

1

3

1

3

0

13

0.0068

1

0

0

2

0.0068

7

0

1

13

1.3846

0.38928

17

Sibul Kristjan
(Danpower / Võru VK)

4

9

1

4

1

34

0.0028

5

0

0

5

0.0069

2

2

3

21

-1.2857

0.36662

18

Savik Andres
(AB Premium/Rae vald)

1

3

0

2

0

7

0

1

2

0

4

0.0068

2

0

0

3

2

0.35847

19

Toom Mart
(Tallinna Ülikool)

1

3

0

3

1

11

0.008

0

1

0

1

0

5

1

0

11

1.0909

0.35648

20

Skuin Terek
(Danpower / Võru VK)

1

3

0

2

1

9

0.0072

0

1

0

1

0

3

1

0

5

1.2

0.3532

21

Hohensee Artti
(Põltsamaa VK)

1

3

1

3

0

16

0.0078

0

2

0

2

0

1

1

2

8

-0.75

0.35275

22

Kasela Sander
(EMÜ/Structura)

5

14

1

3

0

46

0.0012

4

1

1

8

0.0046

9

4

1

27

2.0741

0.35194

23

Kõivoste Cenor
(Danpower / Võru VK)

1

2

0

1

1

8

0.0072

0

1

0

1

0

0

0

0

3

0

0.35134

24

Luuken Hendrik
(Audentese SG/NK)

1

4

0

2

0

11

0

1

0

0

2

0.0053

5

0

1

14

1.1429

0.34921

25

Klaas Rasmus
(Selver Tallinn Spordikool)

6

15

3

1

0

32

0.0025

1

5

0

10

0.0008

3

0

1

5

6

0.33444

26

Frey Jasper
(Danpower / Võru VK)

1

2

0

2

0

12

0

0

0

0

0

0

4

0

0

6

1.3333

0.32109

27

Ploom Alar
(BMF/Rakvere VK)

1

4

0

3

0

13

0

0

4

1

7

0

5

1

1

11

1.0909

0.32073

28

Toompuu Marcos
(Selver Tallinn Spordikool)

1

2

0

0

0

1

0

0

0

0

0

0

0

0

1

1

-2

0.31911

Ranking Calculation

Middle-Blocker

the ranking takes into account:

  • Serve Index (Sv ind.): positive serves divided the total points of both teams (ranking is available only if the player has made at least one serve per set)

  • Attack Index (Sp ind.): positive attacks minus negative attacks divided the total attacks (ranking is available only if the player has made at least three attacks per set)

  • Block Index (Bl ind.): positive blocks divided the total points of both teams

The final ranking is based on the final “index” which determines the impact of the role on the game, in other words the importance of the role towards the win probability. This final Index is calculated considering the indexes for each single skill (“ind.” columns) and a coefficient which indicates the “importance” of the role to determine the probability of success for the team. Each single skill index is calculated considering the positive and negative skills based on the number of points played from the teams and multiplied for a coefficient which indicates the importance of the skill for that role to determine the probability of success for the team. The icons next to each skill column give an idea about the “weight” of the skill determining the probability of success for the team in this role. The final Index is calculated also considering the following criteria:

  • Minimum number of Serves per set:  1

  • Minimum number of Spikes per set:  1

Serve

  • # serve ace

  • / half point

  • = serve error

Attack

  • # point

  • / blocked

  • = error

Block

  • # point

  • / Net touch

  • = hand out

Filters applied

  • Minimum number of Matches played:  1

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